Results 151 to 160 of about 50,503 (261)

Decarbonization Boundary Choices and the Effectiveness of Stakeholder Engagement in Voluntary Climate Action Commitments: Evidence From Emerging Economies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how stakeholder engagement, conceptualized as a boundary‐spanning organizational capability, interacts with firms' decarbonization strategies, in relation to climate action commitments (CACs) in voluntary initiatives.
David Tobón Orozco, Jose Pla‐Barber
wiley   +1 more source

Bayesian hierarchical models for multivariate mixed responses with repeated measures: A case study in arterial occlusive disease. [PDF]

PLoS One
Ebrahim EA, Cengiz MA.
europepmc   +1 more source

Can Credit Rating Changes Affect Corporate Carbon Emissions? Some Evidence From the S&P 500

Business Strategy and the Environment, EarlyView.
ABSTRACT Using panel data on US S&P 500 firms from 2012 to 2024, this study examines how credit rating changes affect corporate carbon performance. Drawing on the resource‐based view and prospect theory, we show that credit rating downgrades lead to a statistically and economically significant deterioration in emission reduction scores.
Michal Wojewodzki, Mohamad H. Shahrour, Alireza Rohani, Bradley R. Barnes, Chi Keung Marco Lau   +4 more
wiley   +1 more source

Extrapolation of Time-to-Event Survival Outcomes of Histology-Independent Therapies Using a Bayesian Hierarchical Model. [PDF]

Med Decis Making
Mikelson J, Birnie R, McCarthy G, Madin-Warburton M, Xu R, Chumbley J, Aguiar-Ibáñez R, Amonkar M, Baio G, Young K.   +9 more
europepmc   +1 more source

The Digital‐Sustainability Disconnect: A Test of Strategic Alignment in the Circular Economy Transition

Business Strategy and the Environment, EarlyView.
ABSTRACT This study challenges the common assumption that digital and sustainability transformations are naturally synergistic. Integrating signaling theory and the dynamic capability view, we argue that for many firms, particularly traditional SMEs, these initiatives are pursued on separate, unaligned strategic tracks, creating a “signaling‐substance ...
Nicolas Depetris‐Chauvin, Marta Fernández‐Olmos, Wenbo Hu   +2 more
wiley   +1 more source

A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data. [PDF]

PLoS Comput Biol
Warne DJ, Zhu X, Steele TP, Johnston ST, Sisson SA, Faria M, Murphy RJ, Browning AP.   +7 more
europepmc   +1 more source

Consumer Adoption of Internet of Things

Journal of Consumer Behaviour, Volume 24, Issue 2, Page 673-693, March 2025.
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira, Weng Marc Lim, Fernando de Oliveira Santini, Tareq Rasul, Bernardo Frantz, Jean Carlos de Oliveira Rosa, Mohd Azhar   +6 more
wiley   +1 more source

Multiple data set Bayesian analysis synergistically boosts ITC parameter precision. [PDF]

Biophys J
Otten L, Walker DR, Barbar EJ, Zuckerman DM.   +3 more
europepmc   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

Variation in sleep duration across latitudes and countries: a Bayesian hierarchical analysis of wearable data. [PDF]

NPJ Biol Timing Sleep
Akhtar F, Brownlee A, Crawford C.
europepmc   +1 more source